研究方向

• 计算机视觉——多粒度视觉语义结构先验建模
• 空天信息处理——目标检测、语义分割、变化检测
• 机器学习——深度学习、字典学习、多模态表征学习

代表性论文

1. 2026
   Balanced Hierarchical Contrastive Learning with Decoupled Queries for Fine-Grained Object Detection in Remote Sensing Images

   Jingzhou Chen, Dexin Chen, Fengchao Xiong, Yuntao Qian, Liang Xiao

   CVPR IEEE/CVF Conference on Computer Vision and Pattern Recognition PDF · 代码
2. 2022
   Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification

   Jingzhou Chen, Peng Wang, Jian Liu, Yuntao Qian

   CVPR IEEE/CVF Conference on Computer Vision and Pattern Recognition PDF · 代码
3. 2025
   Adaptive Label Granularity Selection for Remote Sensing Targets: Balancing Accuracy and Specificity

   Jingzhou Chen, Junjie Huang, Peng Wang, Fengchao Xiong, Yuntao Qian, Liang Xiao

   TGRS IEEE Transactions on Geoscience and Remote Sensing PDF
4. 2025
   Hierarchical Contrastive Learning for Multigranularity Ship Classification with Learnable Class Queries

   Jingzhou Chen, Fengchao Xiong, Yuntao Qian, Liang Xiao

   TGRS IEEE Transactions on Geoscience and Remote Sensing PDF
5. 2021
   Hierarchical Multilabel Ship Classification in Remote Sensing Images Using Label Relation Graphs

   Jingzhou Chen, Yuntao Qian

   TGRS IEEE Transactions on Geoscience and Remote Sensing PDF · 代码
6. 2020
   Incremental Detection of Remote Sensing Objects With Feature Pyramid and Knowledge Distillation

   Jingzhou Chen, Shihao Wang, Ling Chen, Haibin Cai, Yuntao Qian

   TGRS IEEE Transactions on Geoscience and Remote Sensing PDF
7. 2024
   Mask-Guided Local–Global Attentive Network for Change Detection in Remote Sensing Images

   Fengchao Xiong, Tianhan Li, Jingzhou Chen*, Jun Zhou, Yuntao Qian

   JSTARS IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ESI 高被引论文 PDF
8. 2026
   Bridging the Resolution Gap: Semantic-Aware Alignment for Cross-Resolution Change Detection

   Hao Wang, Fengchao Xiong, Yijun Zhang, Jianfeng Lu, Jingzhou Chen, Yuntao Qian

   PR Pattern Recognition PDF
9. 2025
   Deep Equilibrium Convolutional Sparse Coding for Hyperspectral Image Denoising

   Jin Ye, Jingran Wang, Fengchao Xiong, Jingzhou Chen, Yuntao Qian

   TGRS IEEE Transactions on Geoscience and Remote Sensing PDF
10. 2025
    Semantic Distance Modeling for Multi-Granularity Classes in Hierarchical Ship Classification

    Jingzhou Chen, Junjie Huang, Fengchao Xiong, Liang Xiao, Yuntao Qian

    IGARSS IEEE International Geoscience and Remote Sensing Symposium
11. 2021
    Hierarchical Multi-Label Ship Recognition in Remote Sensing Images Using Label Relation Graphs

    Jingzhou Chen, Yuntao Qian

    IGARSS IEEE International Geoscience and Remote Sensing Symposium PDF
12. 2018
    Deep Tensor Factorization for Hyperspectral Image Classification

    Jingzhou Chen, Wei Zhang, Minchao Ye, Yuntao Qian

    IGARSS IEEE International Geoscience and Remote Sensing Symposium PDF · 代码

其他论文

1. 2023
   Semantic Guided Level-Category Hybrid Prediction Network for Hierarchical Image Classification

   Peng Wang, Jingzhou Chen, Yuntao Qian

   IJWMIP International Journal of Wavelets, Multiresolution and Information Processing PDF
2. 2021
   Graph Regularized Autoencoder Based Feature Extraction for Hyperspectral Image Classification

   Xiaotian Fan, Jingzhou Chen, Yuntao Qian

   IGARSS IEEE International Geoscience and Remote Sensing Symposium PDF
3. 2020
   Multi-Label Remote Sensing Image Classification with Deformable Convolutions and Graph Neural Networks

   Yingyu Diao, Jingzhou Chen, Jun Zhou, Yuntao Qian

   IGARSS IEEE International Geoscience and Remote Sensing Symposium PDF
4. 2018
   Superpixel-Based Nonnegative Tensor Factorization for Hyperspectral Unmixing

   Fengchao Xiong, Jingzhou Chen, Jun Zhou, Yuntao Qian

   IGARSS IEEE International Geoscience and Remote Sensing Symposium PDF
5. 2018
   Deconv R-CNN for Small Object Detection on Remote Sensing Images

   Wei Zhang, Shihao Wang, Sophanyouly Thachan, Jingzhou Chen, Jun Zhou, Yuntao Qian

   IGARSS IEEE International Geoscience and Remote Sensing Symposium PDF

* 为通讯作者。

科研项目

• 2026.01 – 2028.12
  国家自然科学基金青年科学基金主持
• 2024.09 – 2027.08
  江苏省自然科学基金青年基金主持
• 2023.11 – 2024.10
  基于基础模型知识驱动的遥感图像交互式分割算法研究主持

  江苏省航空对地探测与智能感知工程研究中心开放基金
• 2024.12
  江苏省“双创博士”人才支持项目主持
• 2024.09 – 2027.09
  低空多模态遥感基础模型与智能解译技术研发参与

  江苏省前沿技术研发计划
• 2023.11 – 2025.11
  基于多模态预训练模型的发型生成方法研究参与

  苏州简云智能科技有限公司横向项目

工作经历

• 2023.06 – 至今
  讲师

  南京理工大学 计算机科学与工程学院
• 2022.04 – 2023.06
  高级视觉算法工程师

  蚂蚁集团 机器智能部门

  • 基于层级语义结构的图像内容安全识别模型机器之心报道 · B站讲解视频
  • 面向图像内容安全领域的图文多模态模型研发

教育经历

• 2016.09 – 2022.03
  计算机科学与技术 博士

  浙江大学 计算机学院，浙江杭州
  导师：钱沄涛 教授
• 2012.09 – 2016.06
  计算机科学与技术 学士

  四川大学 计算机学院，四川成都

学术及学会服务

审稿人

• IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• AAAI Conference on Artificial Intelligence (AAAI)
• European Conference on Computer Vision (ECCV)
• IEEE Transactions on Geoscience and Remote Sensing (TGRS)
• IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS)
• Conference on Neural Information Processing Systems (NeurIPS)
• Asian Conference on Computer Vision (ACCV)

学会

• 江苏省人工智能学会 智能遥感专委会 委员

获奖

• 2018 – 2019
  浙江大学优秀研究生
• 2015.07
  第 17 届全国机器人锦标赛暨第 6 届国际仿人机器人奥林匹克大赛 二等奖
• 2015.05
  第 14 届 RoboMaster 机器人大赛 三等奖
• 2014
  四川大学优秀学生
• 2014.10
  四川大学第 9 届“挑战杯”仿真机器人足球比赛 一等奖